medea-therapeutic-discovery

name	medea-therapeutic-discovery
description	An AI agent for therapeutic discovery that executes transparent, multi-step omics analyses including research planning, code execution, and literature reasoning.
license	MIT
metadata	{"author":"Artificial Intelligence Group (Adapted from openscientist.ai)","version":"1.0.0"}
compatibility	[{"system":"Python 3.10+"}]
allowed-tools	["run_shell_command","read_file","web_fetch"]

Medea Therapeutic Discovery Agent

Medea is a multi-stage AI agent designed for therapeutic discovery, modeled after 2026 state-of-the-art open source architectures. It executes transparent, multi-step omics analyses.

When to Use This Skill

• "Run multi-omics therapeutic discovery pipeline"
• "Analyze omics data for novel drug targets using Medea"
• "Perform literature reasoning and consensus reconciliation for target X"

Core Capabilities

1. Research Planning: Formulates step-by-step omics analysis plans.
2. Code Execution: Generates and executes Python/R scripts for data processing.
3. Literature Reasoning: Retrieves and synthesizes current literature.
4. Consensus Stage: Reconciles experimental evidence with literature to propose high-confidence targets.

Workflow

1. Step 1: Initialize Medea agent with target disease or omics dataset.
2. Step 2: Execute the multi-stage pipeline across planning, coding, literature review, and consensus validation.

Example Usage

User: "Run Medea analysis on the provided breast cancer multi-omics dataset."

Agent Action:

python3 -m medea.agent --dataset breast_cancer_omics.h5ad --mode full_discovery